Enterprise Solutions Engineer
Bland AIVisit Bland AI website
Enterprise voice-AI platform for building, deploying, and monitoring AI phone agents.
San Francisco, United States
Funding history
Investors
About Bland AI
Bland provides in-house voice, language-model, speech-to-text, text-to-speech, telephony, testing, and observability infrastructure for inbound and outbound AI phone agents, primarily for regulated enterprise workflows.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own the technical sales process from discovery through Proof of Value. You will uncover workflows and integration needs, configure tailored voice-agent demos, scope and manage evaluations, support security and procurement reviews, and partner with sales and technical stakeholders to advance enterprise deals.
Requirements
- 4–8 or more years of solutions engineering, sales engineering, or technical pre-sales experience at a B2B SaaS company
- Experience running technical discovery and supporting enterprise sales cycles
- Experience contributing to technical POVs, POCs, pilots, or evaluations
- Ability to define POV success criteria, manage scope, and keep evaluations on track
- Ability to configure demos, understand APIs, work with prompts, and reason through integrations
- Ability to engage customer engineering and IT teams
- Commercial partnership skills for working with account executives
- Interest in AI, LLMs, voice automation, and enterprise workflow transformation
Responsibilities
- Lead technical discovery and qualify technical fit
- Identify customer workflows, systems, integration requirements, operational pain, and AI readiness
- Define technical win strategies with account executives
- Design and run workflow-specific demos
- Scope Proofs of Value with success criteria, timelines, milestones, and stakeholder expectations
- Configure custom voice-agent demos and technical proof points
- Manage technical evaluations and define next steps and decision points
- Support RFIs, security questionnaires, technical due diligence, and procurement
- Explain architecture, integrations, and data-security posture to stakeholders
- Partner with account executives, forward-deployed engineers, Product, and Engineering
- Contribute to demo assets, POV templates, technical documentation, and pre-sales materials
Benefits
- Equity
